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EN
Localization is to provide all sensor nodes with their geographical positions.A mobile anchor-based localization in wireless sensor networks uses a mobileanchor equipped with GPS, which travels along a predetermined path. At eachspecified beacon point, it broadcasts its current known position to help othersensor nodes with unknown locations estimate their positions. This paper analyzes the determination of beacon points based on a square grid. We proposean improved path planning model named Union-curve. Our proposed model in-corporates all beacon points of five previously developed paths, namely, SCAN,HILBERT, S-type, Z-curve, andΣ-Scan on the commonly used square grid decomposition of area. Unknown sensor nodes estimate their positions using twotechniques, APT and WCWCL-RSSI. Simulation results show that the pro-posed model has higher accuracy, with a big difference in error rate comparedto the other models. In addition, this model guarantees maximum coveragewith less path resolution value.
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